Login Register

DatetimeIndex.drop_duplicates()

DatetimeIndex.drop_duplicates(*args, **kwargs) [source]

Return Index with duplicate values removed

Parameters:

keep : {?first?, ?last?, False}, default ?first?

first : Drop duplicates except for the first occurrence.
last : Drop duplicates except for the last occurrence.
False : Drop all duplicates.

take_last : deprecated

Returns:

deduplicated : Index

Links:

http://pandas.pydata.org/pandas-docs/version/0.19.2/generated/pandas.DatetimeIndex.drop_duplicates.html

doc_Pandas

2025-01-10 15:47:30

Comments

Leave a Comment

Please login to continue.

Popular Articles

DatetimeIndex.drop() DatetimeIndex.drop(labels, errors='raise') [source] Make new Index with passed list of labels deleted Parameters: labels : array-like errors : {

DataFrame.drop_duplicates() DataFrame.drop_duplicates(*args, **kwargs) [source] Return DataFrame with duplicate rows removed, optionally only considering certain columns Par

TimedeltaIndex.drop_duplicates() TimedeltaIndex.drop_duplicates(*args, **kwargs) [source] Return Index with duplicate values removed Parameters: keep : {?first?, ?last?, False},

MultiIndex.drop_duplicates() MultiIndex.drop_duplicates(*args, **kwargs) [source] Return Index with duplicate values removed Parameters: keep : {?first?, ?last?, False}, def

CategoricalIndex.drop_duplicates() CategoricalIndex.drop_duplicates(*args, **kwargs) [source] Return Index with duplicate values removed Parameters: keep : {?first?, ?last?, False